591 citations · 3.6k across the 24 of their papers we have counts for
24 papers
Scalable quantum simulation of continuous-time generative models via tensor networks
Nathan X. Kodama, L. Andrew Wray, Sam Cochran +3
Continuous-time flow and diffusion models are widely used across many application domains, from large-scale deployment in computer vision and protein folding to emerging adoption f…
Equivariant Continuous Normalizing Flows with Offline Sampling for Fermionic Ground State Estimation
Sam Cochran, James B. Larsen, James Stokes +4
We introduce a framework for fermionic variational Monte Carlo in which a continuous normalizing flow refines a fixed antisymmetric base wavefunction. The flow is a permutation-equ…
Synthetic weather radar using hybrid quantum-classical machine learning
Graham R. Enos, Matthew J. Reagor, Maxwell P. Henderson +4
The availability of high-resolution weather radar images underpins effective forecasting and decision-making. In regions beyond traditional radar coverage, generative models have e…
Entanglement Across Separate Silicon Dies in a Modular Superconducting Qubit Device
Alysson Gold, JP Paquette, Anna Stockklauser +15
Assembling future large-scale quantum computers out of smaller, specialized modules promises to simplify a number of formidable science and engineering challenges. One of the prima…
Automated quantum programming via reinforcement learning for combinatorial optimization
Keri A. McKiernan, Erik Davis, M. Sohaib Alam +1
We develop a general method for incentive-based programming of hybrid quantum-classical computing systems using reinforcement learning, and apply this to solve combinatorial optimi…
Unsupervised Machine Learning on a Hybrid Quantum Computer
J. S. Otterbach, R. Manenti, N. Alidoust +27
Machine learning techniques have led to broad adoption of a statistical model of computing. The statistical distributions natively available on quantum processors are a superset of…